Alexander Stocker, Nikolai Ebinger

Driver Interaction tracking in a real car environment

Key Learnings

  • How to setup a field studiy and which challanges can appear
  • Learn how to measure more than 3 interaction patterns at the same time
  • How to measure trust and acceptance in semi-automated driving

This talk presents results from a field study conducted in the GENDrive project funded by the Austrian Research Promotion Agency (GG), assessing how drivers interact with driver assistance systems in semi-automated passenger vehicles.

The state-of-the-art on interaction between drivers and advanced driver assistance systems (ADAS) lacks studies in the field instead of a simulated context. Beyond that, studies explicitly respecting diversity of drivers – e.g., age, gender, experience with ADAS – are underrepresented. Most studies infer their results from participant groups consisting of relatively young, technology-affine, male persons.

The GENDrive project makes use of the recent possibility to conduct field studies with recently introduced commercial ADAS (Level 2).  For this purpose, a set of heterogeneous variables coming from various data sources are recorded. Such interaction patterns are assumed to be measurable by various sensors aiming at gathering data from subjects as well as objectified vehicle data. These sensors range from qualitative data (e.g., interviews) to psycho-physiological measurements (e.g., skin conductance) to eye-tracking to data acquired from the vehicle itself (e.g., speed). Using methods of data science, these measurements are combined and synchronized in order to obtain a comprehensive view on drivers.


Date: Wednesday, October 13th
Time: 11:15 - 12:00
Location: HALL 1a

Alexander Stocker

Key Researcher, Virtual Vehicle

Alexander Stocker holds a diploma and a doctorate in business administration from the University of Graz (2010) with a focus on business informatics. He is key researcher for contextual information systems and management at the Virtual Vehicle Research Center in Graz, Austria. Previously he worked as a key researcher at JOANNEUM RESEARCH, as assistant to the CEO at the Know-Center and as a consultant for information management and technology at Datev.

Nikolai Ebinger

Junior Researcher, Virtual Vehicle Research GmbH

Nikolai Ebinger holds a master´s degree in Psychology from the University of Graz. He is a researcher for Human Factors at the Virtual Vehicle Research Center with focus on trust, reliance, and human oversight. He is involved in several national and international research projects that focus on automated driving and artificial intelligence.

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